AI is promising, but it is also reaching a point where it is no longer very economical to operate, especially at scale. Even consumer-focused AI subscriptions are getting expensive. For example, Claude’s top-tier plan starts at $200 per month, which is not the type of subscription fee typically seen in the consumer market.
Things are even worse for companies. Some reports now suggest that implementing an AI workforce may cost more than simply paying humans to do the same work, which is somewhat ironic.
I have personally been looking for open source alternatives which can save money while doing the same work. So far, I’ve managed to replace most of the tools I use with open source options. More recently, I even found a replacement for Claude Design: an open source tool called Open Design that offers a similar experience without the price or vendor lock-in.
Open Design uses existing AI coding agents for design
Gives me a local design workspace
As I mentioned earlier, Open Design is an open source local design workspace built on the same basic idea as Claude Design. You describe what you want and an AI system turns it into a usable design result. Open Design is released as Apache-2.0 software, runs on your machine, and uses its own encryption agent and API credentials rather than forcing you to use a single hosted product. The project also states that the software itself is free and users pay only the provider’s costs for any models or agents they use.
Claude Design, as introduced by Anthropic, is a hosted design environment where you can start from text, images, documents or code, then refine the result with inline comments and layout controls before exporting to formats such as PDF, PPTX, Canva or standalone HTML. Open Design takes that same idea of prioritizing artifacts and rebuilds it as an open system that runs locally and can be modified, forked, and self-hosted.
Open Design does not depend on a single model or a single vendor workflow. The project converts existing coding agents, such as Claude Code, Codex, Cursor, Gemini, OpenCode, and Qwen, into the layout engine. Open Design essentially serves as a layer of control around the agent you already use, rather than asking you to switch to a closed design product.
It divides the workflow into three parts: the local application, the daemon, and the agent runtime. Everything runs locally, with generated artifacts and project data stored on your machine rather than within a cloud environment. The results are written directly to the project directory, making it easy to inspect, modify, and manage the generated files.
Replace one-time prompts with reusable workflows
Open design follows a structured framework
Open Design is not just based on prompts. Instead, it combines design skills and systems to guide the generation process. Skills define what is being created, whether it is a landing page, dashboard, presentation, mobile app, or product prototype. Design systems define what that output should look like by setting rules about layout, typography, spacing, colors, and overall visual style. Together, they give AI a structured framework to work with, helping to produce more consistent results than relying solely on a prompt.
There is a wide range of built-in skills for common design tasks, including landing pages, dashboards, documentation sites, presentations, blog designs, mobile apps, and web prototypes. It also includes multiple design systems that can be applied across all projects. It is not necessary to create the layout context from scratch every time. You can simply choose the type of artifact you want to create, select a design system, and the AI will be generated within those constraints.
The biggest difference is the freedom of subscriptions.
And the freedom to choose the model.
The biggest difference between Open Design and Claude Design is ownership. Open Design is free and open source, and does not require a subscription to the software itself. You still need access to an AI model, and API costs depend on the provider you choose, but the platform doesn’t force you to pay a recurring software fee. I found it more flexible because I already had access to models through ChatGPT, DeepSeek, and other services, so I could use those existing credits and tokens instead of paying for another dedicated platform.
I have nothing against Claude Design. In fact, Claude’s models are some of the best available today. The problem is the cost. Claude Design is tied to the Anthropic ecosystem and using premium models at every stage of a design project can quickly get expensive. For my use case, it made more sense to generate most of the work using cheaper models and then use Claude only when I needed help refining or polishing the final result. I have found this approach to be very effective. me recently replaced Claude Code with an open source alternative called Aiderand it gives me the same level of flexibility. I can choose the models I want to use and the result is almost identical.
Open source is now more important than ever
Ultimately, Open Design works better because it recreates the workflow rather than trying to reinvent it. You can generate designs, iterate on them, preview the results, and export finished artifacts just like you would with Claude Design. The difference is that you are not limited to a single provider, subscription, or ecosystem. For anyone already experimenting with multiple AI models, that flexibility is arguably the biggest advantage of Open Design.
